DOI QR코드

DOI QR Code

텍스트 마이닝을 활용한 4차 산업혁명 핵심기술 연관분석

The Fourth Industrial Revolution Core Technology Association Analysis Using Text Mining

  • 류재한 (한성대학교 스마트융합컨설팅학과) ;
  • 유연우 (한성대학교 스마트경영공학부 컨설팅트랙)
  • Ryu, Jae-Han (Dept. of Smart Convergence Consulting, Hansung University) ;
  • You, Yen-Yoo (Division of Smart Management Engineering, Hansung University)
  • 투고 : 2018.06.06
  • 심사 : 2018.08.20
  • 발행 : 2018.08.28

초록

본 연구는 기술을 이전하겠다고 KIAT의 NTB에 등록된 이전기술이 4차 산업혁명 핵심기술의 어느 분야와 관련되어 있으며, 이러한 기술의 기술이전 유형에 관해 분석하였다. 분석에 사용된 기술은 대학과 공공연구소에서 개발한 최근 3년(2015 - 2017)간의 것이다. 연구는 R프로그램을 활용해 빅데이터 텍스트 마이닝의 빈도분석, 시각화, 연관분석 등으로 진행하였다. 연구 결과는 첫째, 4차 산업혁명 핵심기술 응용분야와 관련된 이전기술은 로봇, 3D, 자율주행, 웨어러블 등과 관련한 기술이 많았고 둘째, 연도가 지날수록 사물인터넷, 클라우드, 증강현실 등과 같은 응용분야 기술의 등록이 증가하고 있으며 셋째, 응용분야 기술의 기술이전 유형의 연관규칙을 분석한 결과 사물인터넷(IoT)과 VR 기술은 기술매매 라이센싱, 자율주행 기술은 기술매매, 웨어러블 기술은 라이센싱, 로봇 관련기술은 기술협력 라이센싱 기술매매 등으로 이전하겠다고 나타났다. 이에, 기업은 4차 산업혁명 시대에 필요한 관련 기술을 이전받고자 할 경우 이의 계획적 준비가 필요하다고 하겠다.

This study analyzed technology application field and technology transfer type related to the 4th industrial revolution using frequency, visualization, and association analysis of text mining of Big Data. The analysis was conducted between the last three years (2015 - 2017) registered with the NTB of KIAT transfer technology database was utilized. As a result of analysis, First, First, transfer technologies called core technologies of the Fourth Industrial Revolution are a lot of about robots, 3D, autonomous driving, and wearables. Second, as the year go by, transfer technolgy registration such as IoT, Cloud, VR is increasing. Third, the results of the association analysis of technology transfer type are as follows. IoT and VR showed preference for technology trading and licensing, autonomous driving technology trading, wearable licensing, robots preferring technology cooperation, licensing, and technology trading.

키워드

참고문헌

  1. G .Y. Choi. (2016). Changes Brought by the 4th Industrial Revolution and Policy implication, KISDI Premium Report 16(4). http://bitly.kr/jDLR
  2. Industrial Economic Research Division. (2017). The Influence of the Fourth Industrial Revolution on Korean Manufacturing and Implications, Policy documents 2017(297), http://bitly.kr/ckMR
  3. E. M. Lee. (2016). Fourth Industrial Revolution and Change in Industrial Structure, Information and communication broadcasting policy 28(15).
  4. KOTRA. (2017). Fourth Industrial Revolution, Trend of high-tech product development and implications, Global Market Report, 17(14).
  5. S. H. Kim & M. J. Kim. (2016). Manufacturing Innovation Policy Challenges for the Next Production Revolution, Policy Research 2016(20).
  6. J. H. Kim. (2016). Fourth Industrial Revolution, Seeking strategic responses to future social change, KISTPEP lnl(15).
  7. E. M. Jeong. (2017). The Influence of The Fourth Industrial Revolution on Korean Manufacturing and Implications, Policy documents 2017(297).
  8. K. S. Kim. (2016). Big data industry's rise and implications, KDB E-Book Center, Issue Analysis 2016, 10(731), 82-102.
  9. What Is Big Data.. it-glossary/big-data? https://www.gartner.com
  10. G. H. Jeong. (2011). A Study of foresight method based on textmining and complexity network analysis. http://bitly.kr/2aH9
  11. S. J. Lee, G. Y. Yeon & S. H. Cheon. (2013). Big Data for Transportation and Their Appli-cations. Research Series 2013(21), The Korea Transport Institute, http://bitly.kr/m2gA
  12. S. W. Cho. (2011). Technology of Big Data Age, http://bitly.kr/7w1O
  13. Wikiepedia. Big Data, https://bit.ly/2x0z399
  14. J. S. Park & S. K. Hong. (2016). Pin-Tech Trends Analysis Using Text Mining, 2016 KAIS Fall Conference C32.
  15. M. J. Lee et al. (2016). Establishment of a system for applying spatial information in addressing environment issues by considering the trend of ICT development, KEI Research Report 2016(19).
  16. J. C. Choi. (2018). Big data Patent Analysis using Social Network Analysis, Journal of the Korea Convergence Society, 9(2), 251-257. https://doi.org/10.15207/JKCS.2018.9.2.251
  17. M. M. C. Han, Y. S. Kim & C. K. Lee. (2017). Analysis of News Regarding New Southeastern Airport Using Text Mining Techniques, Smart Media Journal, 6(1), 48-54.
  18. NTB, https://www.ntb.kr
  19. J. W. Choi, H. S. Han, M. Y. Lee & J. M. Ahn. (2015). The Prediction of Corporate Bankruptcy Using Text-mining Methodology, Productivity Review, 29(1), 201-227. https://doi.org/10.15843/kpapr.29.1.201503.201